Our initialization methods will primarily build upon persistent [1]}, [2]} and cooperative [3]} initialization. All of our methods will use a generator network as the source of rejuvenation for persistent states. Our shortrun experiments will learn the generator in tandem with the EBM so the synthesis process is self-contained, while our midrun and longrun experiments will use pretrained generators since we will apply sampling paths from in-distribution initial images rather than synthesizing from scratch.
